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Yitu Technology / 依图科技 MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Yitu Technology / 依图科技 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "yitu-technology": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Yitu Technology / 依图科技 Agent",
    instructions:
      "You help users interact with Yitu Technology / 依图科技 " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Yitu Technology / 依图科技?"
  );
  console.log(result.text);
}

main();
Yitu Technology / 依图科技
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Yitu Technology / 依图科技 MCP Server

Empower your AI agent to orchestrate your enterprise-grade visual intelligence and facial recognition workflows with Yitu Technology (依图科技), a world-class provider of computer vision solutions. By connecting Yitu to your agent, you transform complex facial matching, identity search, and repository management into a natural conversation. Your agent can instantly detect faces in images, verify identities through high-precision comparison, manage custom facial repositories, and index new identities without you ever needing to navigate complex technical dashboards. Whether you are building an automated security checkpoint or managing a high-volume digital identity archive, your agent acts as a real-time computer vision coordinator, providing accurate results from a single, authorized source.

Mastra's agent abstraction provides a clean separation between LLM logic and Yitu Technology / 依图科技 tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Facial Orchestration — Detect faces and extract precise locations and attributes from image URLs.
  • Identity Verification — Perform high-precision 1:1 face comparison to verify if two images belong to the same person.
  • Library Search — Search for matching identities within your private facial repositories (1:N recognition).
  • Repository Management — Create, list, and monitor metadata for your facial data repositories.
  • Identity Indexing — Register new faces and associate them with unique person identifiers for future search.

The Yitu Technology / 依图科技 MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Yitu Technology / 依图科技 to Mastra AI via MCP

Follow these steps to integrate the Yitu Technology / 依图科技 MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 12 tools from Yitu Technology / 依图科技 via MCP

Why Use Mastra AI with the Yitu Technology / 依图科技 MCP Server

Mastra AI provides unique advantages when paired with Yitu Technology / 依图科技 through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Yitu Technology / 依图科技 without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Yitu Technology / 依图科技 tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Yitu Technology / 依图科技 + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Yitu Technology / 依图科技 MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Yitu Technology / 依图科技, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Yitu Technology / 依图科技 as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Yitu Technology / 依图科技 on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Yitu Technology / 依图科技 tools alongside other MCP servers

Yitu Technology / 依图科技 MCP Tools for Mastra AI (12)

These 12 tools become available when you connect Yitu Technology / 依图科技 to Mastra AI via MCP:

01

add_face_to_repo

Register a face in a repository

02

compare_faces

Verify if two faces match (1:1)

03

create_face_repo

Create a new facial repository

04

delete_face_repo

Delete a facial repository

05

detect_active_liveness

Returns per-action pass/fail. Active liveness detection with action verification

06

detect_face

Detect faces in an image

07

detect_silent_liveness

Detects photos, screens, and 3D masks. Silent liveness detection (anti-spoofing)

08

list_repos

List all facial repositories

09

moderate_image

Content moderation for images

10

ocr_id_card

Extract text from an ID card image

11

remove_face_from_repo

Remove a face from a repository

12

search_face_in_repo

Returns top matches with confidence. Search for a face in a repository (1:N)

Example Prompts for Yitu Technology / 依图科技 in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Yitu Technology / 依图科技 immediately.

01

"Detect faces in this URL: [URL] and tell me how many people are there."

02

"Search for this face: [URL] in repository 'REPO_8821'."

03

"List all facial repositories in my Yitu project."

Troubleshooting Yitu Technology / 依图科技 MCP Server with Mastra AI

Common issues when connecting Yitu Technology / 依图科技 to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Yitu Technology / 依图科技 + Mastra AI FAQ

Common questions about integrating Yitu Technology / 依图科技 MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Yitu Technology / 依图科技 to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.